Colorectal cancer (CRC) which is diagnosed in patients under the age of 50 years is defined as young-onset CRC. There has been a substantial increase in the incidence and mortality of young-onset CRC in the past four decades and the patients have delayed diagnoses leading to the advanced stages of CRC at the time of diagnosis. Here we present a case of a 34-year-old male patient with colon cancer and a literature review on young-onset colon cancer to highlight the age-related disparities in CRC incidence and try to explore the possible causative factors for the rise in incidence and mortality in young patients due to CRC.
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http://dx.doi.org/10.7759/cureus.29667 | DOI Listing |
Clin Cancer Res
January 2025
ACTREC, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Purpose: Identifying therapeutic targets for Signet Ring Cell Carcinoma (SRCC) of the colon and rectum is a clinical challenge due to the lack of Patient-Derived Organoids (PDO) or Xenografts (PDX). We present a robust method to establish PDO and PDX models to answer address this unmet need. We demonstrate that these models identify novel therapeutic strategies targeting therapy resistance and peritoneal metastasis.
View Article and Find Full Text PDFJ Cancer Surviv
January 2025
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Purpose: This meta-analysis aims to estimate the global prevalence of severe, moderate, overall malnutrition and moderating factors of malnutrition in colorectal cancer (CRC) survivors.
Methods: A comprehensive search was conducted in Embase, CINAHL, Medline-OVID, PubMed, Scopus, and Web of Science from inception to February 8, 2024, without language, region, or publication date restrictions. A generalized linear mixed model and random-effects model were used to examine the pooled prevalence, and moderator analyses were implemented to investigate variations in the pooled prevalence.
Discov Oncol
January 2025
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
Aim: To construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification.
Methods: Late-onset colon adenocarcinoma data were obtained from the public database. After determining the optimal LODDS truncation value for the training set via X-tile software, we created a new staging system by integrating the T stage and M stage.
Am J Gastroenterol
January 2025
Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan.
ANZ J Surg
January 2025
Colorectal Unit, Department of General Surgery, The Alfred, Melbourne, Victoria, Australia.
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